Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks

Nguyen, T; Wheeler, P; Peterson, J; Gordon-Brown, L

Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks

conference contribution

posted on 2009-01-01, 00:00 authored by T Nguyen, P Wheeler, J Peterson, L Gordon-Brown

Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks

History

Event

Surveying & Spatial Sciences Institute. Biennial International Conference ( 2009 : Adelaide, S. A.)

Pagination

547 - 557

Publisher

Surveying & Spatial Sciences Institute

Location

Adelaide, S. A.

Place of publication

Adelaide, S. A.

Start date

2009-09-28

End date

2009-10-02

ISBN-13

9780958136686

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

B Ostendorf, P Baldock, D Bruce, M Burdett, P Corcoran

Title of proceedings

SSC 2009 : Spatial diversity : Proceedings of the Surveying & Spatial Sciences Institute 2009 Biennial International Conference

Usage metrics

Keywords

auto-derivation aerial images inshore depth channel water depth artificial neural networks coastal zones bathymetric survey

Auto-derivation of in-shore and channel water depth via aerial images: a low-cost approach using artificial neural networks

History

Event

Pagination

Publisher

Location

Place of publication

Start date

End date

ISBN-13

Language

Publication classification

Editor/Contributor(s)

Title of proceedings

Usage metrics

Categories

Keywords

Licence

Exports